username: test1
password: def12345
Vagrant + VirtualBox + PyCharm + Ubuntu 18.04
https://www.virtualbox.org/wiki/Downloads
https://www.vagrantup.com/downloads
After installation,
$ vagrant --version
Vagrant 2.2.15
https://app.vagrantup.com/hashicorp/boxes/bionic64
Choosing virtualbox Hosted by Vagrant Cloud (494 MB)
Renaming downloaded image to bionic64.box, and then moving it to the project directory.
In the current project directory,
$ vagrant box add hashicorp/bionic64 bionic64.box
hashicorp/bionic64 is the name we gave to Box, hashicorp is the name of the company that developed the Vagrant product, and bionic64.box is the path where the Box files are located.
After adding, we can verify via
$ vagrant box list
Renaming Vagrantfile.tmp to Vagrantfile.
####3.3 Start the virtual machine Start the virtual machine:
$ vagrant up
Log into the virtual machine:
$ vagrant ssh
Check whether vagrant up worked properly
$ python --version
$ python -m django --version
$ sudo vim /etc/ssh/sshd_config
Set the force_color_prompt option in the file to yes and remove the preceding comment
The IP of the virtual machine is the private IP 192.168.33.10 we set up earlier, and the username and password are by default is vagrant
$ cd /vagrant
In order to let virtual machine use proxy, we need to install vagrant-proxyconf.
$ vagrant plugin install vagrant-proxyconf
Creat Owner of the Google Cloud project according to: https://cloud.google.com/docs/authentication/getting-started
and get the json file, rename it to credential.json and move it to the project directory.
$ apt-get install memcached
$ pip install python-memcached
$ sudo apt-get install redis
$ pip install redis
https://www.oracle.com/java/technologies/javase/javase-jdk8-downloads.html
Install jdk-8u301-linux-x64.tar.gz
sudo mkdir /usr/lib/jvm
sudo tar -zxvf jdk-8u301-linux-x64.tar.gz -C /usr/lib/jvm
Modify the environment variable.
vi ~/.bashrc
Append the following contents.
#set oracle jdk environment
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_301 ## Note: this directory should be replaced with decompressed directory.
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export PATH=${JAVA_HOME}/bin:$PATH
Let the environmental variables be valid.
source ~/.bashrc
Check the installed Java environment.
java -version
# java version "1.8.0_281"
# Java(TM) SE Runtime Environment (build 1.8.0_281-b09)
# Java HotSpot(TM) 64-Bit Server VM (build 25.281-b09, mixed mode)
javac -version
# javac 1.8.0_281
https://www.apache.org/dyn/closer.lua/hbase/
$ tar xzvf hbase-2.4.5-bin.tar.gz
$ cd hbase-2.4.5
Setting JAVA_HOME in conf/hbase-env.sh
export JAVA_HOME=/usr/lib/jvm/jdk1.8.0_301
Modify conf/hbase-site.xml
<configuration>
<property>
<name>hbase.cluster.distributed</name>
<value>false</value>
</property>
<property>
<name>hbase.tmp.dir</name>
<value>./tmp</value>
</property>
<property>
<name>hbase.rootdir</name>
<value>file:///home/vagrant/hbase</value>
</property>
<property>
<name>hbase.zookeeper.property.dataDir</name>
<value>/home/vagrant/zookeeper</value>
</property>
<property>
<name>hbase.unsafe.stream.capability.enforce</name>
<value>false</value>
<description>
Controls whether HBase will check for stream capabilities (hflush/hsync)
Disable this if you intend to run on LocalFileSystem, denoted by a rootdir
with the 'file://' scheme, but the midndful of the NOTE below.
WARNING: Setting this to false blinds you to potential data loss and
inconsistent system state in the event of process and/or node failures.
If HBase is complaining of an inability to use hsync or hflush its most
likely not a false positive.
</description>
</property>
</configuration>
Start HBase.
bash bin/start-hbase.sh
Visit http://192.168..33.10:16010 to check HBase status.
HBase command line:
$ ./bin/hbase shell
hbase(main):001:0>
https://thrift.apache.org/download.html
$ sudo apt-get install automake bison flex g++ git libboost-all-dev libevent-dev libssl-dev libtool make pkg-config
If dependencies installing failed, please modify the Ubuntu sources
sudo cp /etc/apt/sources.list /etc/apt/sources.list.bak
sudo vi /etc/apt/sources.list
Change the sources.list into
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic main restricted universe
multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic main restricted universe
multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-updates main restricted
universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-updates main restricted
universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-backports main restricted
universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-backports main restricted
universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-security main restricted
universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-security main restricted
universe multiverse
deb https://mirrors.ustc.edu.cn/ubuntu/ bionic-proposed main restricted
universe multiverse
deb-src https://mirrors.ustc.edu.cn/ubuntu/ bionic-proposed main restricted
universe multiverse
Update sources
sudo apt-get update
tar zxf thrift-0.14.2.tar.gz
cd thrift-0.14.2
./configure
make
make install
If encounter following error during configure:
configure: error: cannot run C compiled programs
Maybe you use AMD CPU. Please run the following command:
git clone https://github.com/apache/thrift.git
cd thrift
git checkout remotes/origin/0.14.2
./bootstrap.sh
./configure
make
sudo make install
$ bin/hbase-daemon.sh start thrift
pip install happybase
import happybase
conn = happybase.Connection("192.168.33.10")
families = {'cf1': dict()}
print(conn.tables())
conn.create_table('mytable', families)
print(conn.tables())
python manage.py makemigrations
python manage.py test
python manage.py migrate
vagrant@vagrant:/vagrant$ python manage.py shell
Python 3.6.9 (default, Jan 26 2021, 15:33:00)
[GCC 8.4.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
(InteractiveConsole)
>>> from django.contrib.auth.models import User;
>>> username='admin'
>>> password='admin'
>>> email='[email protected]'
>>> if not User.objects.filter(username=username).exists():
... User.objects.create_superuser(username, email, password)
... print('Superuser created.')
... else:
... print('Superuser creation skipped.')
...
<User: admin>
Superuser created.
>>>
Visit http://localhost/admin
Username: Admin
Password: Admin
File->Settings-> search "python interpreter",
Click the gear mark.
Select add.
Choose Vagrant
Click OK, 'OK'
Run->Edit Configurations
Click +(Add New Configuration)
Choose Django Server (If the environment already have a Django Server Configuration, we don't need to add anymore)
In the Configuration,
Host: 0.0.0.0
Maybe we need to fix Django dependencies.
Just click fix button.
Choose Enable Django Support.
Then set the project root and the path of settings.py
Click Ok.
Then we can run on Pycharm.
- tweets
tweets.api.views.py
create():
NewsFeedService.fanout_to_followers(tweet)
1 tweet对应多个 新鲜事，发推人的本身的时间线，关注发推人的时间线
fanout_newsfeeds_main_task.delay(tweet.id, tweet.timestamp, tweet.user_id)
@shared_task() # 用 celery 的 decorator，将下面的函数放到 celery 的队列中，进行异步的 fanout
获取 HBase 中的 followers 列表
fanout_newsfeeds_batch_task(tweet_id, created_at, follower_ids)
newsfeeds = NewsFeedService.batch_create(batch_params)
HBase
HBaseNewsFeed.batch_create() # hbase row_key = ('user_id', 'created_at')
Redis
push_newsfeed_to_cache()
NewsFeed.objects.create()
把 newsfeeds 放到 redis 里，这样就存储到了磁盘里
RedisHelper.push_object(key, newsfeed, lazy_load_newsfeeds)
# 函数里是 redis 有的就直接返回，否则，用HBaseNewsFeed.filter() 获取 HBase 里的 newsfeeds，并将其放入到 Redis里
Friendships: 保存到了 HBase 里。
NewsFeeds: 保存到了 HBase 和 Redis 里。
Tweets: 将整个 Tweets 表保存到 Redis里。
UserProfile: 保存到了 Memcached 里。
comments: likes. listener，在 Model 里定义 incr_comments_count 和 decr_comments_count
同时，会更新数据库和 redis 里的应用
Tweets 只是增加了 likes_counts 和 comments_counts，并没有像 comments 一样定义函数来增加减少 counts。